Operationalize machine learning and generative AI solutions (AI-300)

Module 1: Operationalize machine learning models (MLOps)

• Experiment with Azure Machine Learning
• Perform hyperparameter tuning with Azure Machine Learning
• Run pipelines in Azure Machine Learning
• Trigger Azure Machine Learning jobs with GitHub Actions
• Trigger GitHub Actions with feature-based development
• Work with environments in GitHub Actions
• Deploy a model with GitHub Actions

Module 2:Operationalize generative AI applications (GenAIOps)

• Plan and prepare a GenAIOps solution
• Manage prompts for agents in Microsoft Foundry with GitHub
• Evaluate and optimize AI agents through structured experiments
• Automate AI evaluations with Microsoft Foundry and GitHub Actions
• Monitor your generative AI application
• Analyze and debug your generative AI app with tracing